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Ai Task Jobs in California (NOW HIRING)

YO AI Labs

AI Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Trainer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Engineer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Trainer - Remote

Los Angeles, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Trainer - Remote

San Jose, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Engineer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Trainer - Remote

San Francisco, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

Bronco AI

Founding AI Engineer

San Francisco, CA · On-site

Job Summary : Bronco AI is focused on advancing chip development through AI agents that enhance ... tasks -- testbench generation, bug triage, coverage closure • Develop reinforcement learning ...

Soulside AI

Applied AI Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Design and maintain rigorous evaluation sets for high-stakes tasks like clinical reasoning and AI note generation -defining metrics, curating gold-standard data, and building automated and human-in ...

HP

Software Engineer, AI Systems

Palo Alto, CA · On-site

$93K - $140K/yr

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful-always with a human-centric mindset. By embedding AI advancements into every ...

Argo AI

AI Engineer

San Francisco, CA · On-site

$210K/yr

Build and implement agentic AI systems capable of autonomous decision‑making and task execution * Develop AI‑powered automation tools to streamline workflows across operations, customer ...

YO AI Labs

AI Software Engineer - Remote

San Jose, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Technical Trainer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

YO AI Labs

AI Software Engineer - Remote

Palo Alto, CA · Remote

$80 - $120/hr

Design tasks involving bug fixing, feature development, refactoring, and performance optimization . * Build deterministic verification systems and golden reference solutions. * Evaluate AI agents ...

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All JobsAi Task JobsAi Task Jobs in California

Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

What cities in California are hiring for Ai Task jobs?

Cities in California with the most Ai Task job openings:

Ai Task jobs near you
Infographic showing various Ai Task job openings in California as of August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Training - Machine Learning Specialist (PST) (San Francisco)

San Francisco, CA • On-site

Prolific
See more jobs at Prolificexternal

$150/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

AI Trainer – Machine Learning Specialists About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting‑edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15‑minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you’ll bring
  • AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
  • A willingness to take our skills verification test to assess your suitability for our participant pool
  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  • A reliable and fast internet connection and access to a computer
  • A willingness to self‑declare your earnings, as our participants are self‑employed
  • A PayPal account to receive payment from our clients
What you’ll be doing in the role
  • Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
  • Judging the performance of AI in performing ML‑relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
  • Improving cutting‑edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
Key Technologies
  • General AI Training
  • Model Evaluation and Evals
  • Trust and Safety
  • Red Teaming
  • Quality Analytics
  • Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We’ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high‑quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organization planning. Prolific’s Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal data.

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